Phuc Q. Le

1.9k total citations · 1 hit paper
22 papers, 1.4k citations indexed

About

Phuc Q. Le is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Phuc Q. Le has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Phuc Q. Le's work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (11 papers) and Quantum-Dot Cellular Automata (5 papers). Phuc Q. Le is often cited by papers focused on Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (11 papers) and Quantum-Dot Cellular Automata (5 papers). Phuc Q. Le collaborates with scholars based in Japan, Saudi Arabia and Vietnam. Phuc Q. Le's co-authors include Fangyan Dong, Kaoru Hirota, Abdullah M. Iliyasu, Fei Yan, Bo Sun, Kaoru Hirota, Masashi Yamaguchi, Zhentao Liu, Hai Vu and Chastine Fatichah and has published in prestigious journals such as Information Sciences, Theoretical Computer Science and Quantum Information Processing.

In The Last Decade

Phuc Q. Le

20 papers receiving 1.4k citations

Hit Papers

A flexible representation of quantum images for polynomia... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Phuc Q. Le Japan 12 1.3k 622 357 243 76 22 1.4k
Ping Fan China 19 845 0.6× 390 0.6× 223 0.6× 181 0.7× 64 0.8× 43 969
Yi‐Hua Zhou China 22 1.2k 0.9× 207 0.3× 547 1.5× 789 3.2× 39 0.5× 114 1.7k
Jozef Gruska Czechia 18 767 0.6× 672 1.1× 53 0.1× 228 0.9× 75 1.0× 64 1.1k
Jia Luo China 14 450 0.3× 176 0.3× 168 0.5× 85 0.3× 41 0.5× 25 577
Mohammad Mosleh Iran 22 396 0.3× 966 1.6× 159 0.4× 325 1.3× 837 11.0× 106 1.4k
Vojtěch Havlíček Czechia 7 1.2k 0.9× 240 0.4× 33 0.1× 403 1.7× 143 1.9× 17 1.4k
Goutam Paul India 15 422 0.3× 64 0.1× 375 1.1× 127 0.5× 66 0.9× 93 754
Juan Carlos García-Escartín Spain 8 565 0.4× 59 0.1× 169 0.5× 445 1.8× 103 1.4× 27 743
Ryutaroh Matsumoto Japan 17 579 0.4× 169 0.3× 101 0.3× 189 0.8× 372 4.9× 89 814
Jean–Pierre Tillich France 16 562 0.4× 271 0.4× 77 0.2× 56 0.2× 194 2.6× 47 743

Countries citing papers authored by Phuc Q. Le

Since Specialization
Citations

This map shows the geographic impact of Phuc Q. Le's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Phuc Q. Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phuc Q. Le more than expected).

Fields of papers citing papers by Phuc Q. Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phuc Q. Le. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Phuc Q. Le. The network helps show where Phuc Q. Le may publish in the future.

Co-authorship network of co-authors of Phuc Q. Le

This figure shows the co-authorship network connecting the top 25 collaborators of Phuc Q. Le. A scholar is included among the top collaborators of Phuc Q. Le based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phuc Q. Le. Phuc Q. Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Le, Phuc Q., et al.. (2021). Research on the stability of reused roadways at Khe Cham I coal mine. 62(5a). 94–102.
3.
Le, Phuc Q., et al.. (2021). Oxidative Nucleophilic Functionalization of Nitrobenzene and 3‐Nitroacetophenones with N−H Bonds. ChemistrySelect. 6(34). 8971–8973. 1 indexed citations
4.
Yan, Fei, Zhengang Jiang, Huamin Yang, et al.. (2015). An encryption strategy for multi-channel quantum images. 151–156. 1 indexed citations
5.
Iliyasu, Abdullah M., et al.. (2014). A Visual Complexity-sensitive DWT Ordering Scheme for Hiding Data in Images. Research Journal of Applied Sciences Engineering and Technology. 7(16). 3286–3297. 5 indexed citations
6.
Iliyasu, Abdullah M., et al.. (2013). Insights into the Viability of Using Available Photonic Quantum Technologies for Efficient Image and Video Processing Applications.. International journal of unconventional computing. 9. 125–151. 9 indexed citations
7.
Iliyasu, Abdullah M., et al.. (2013). Mining visual complexity of images based on an enhanced feature space representation. 65–70. 3 indexed citations
8.
Yan, Fei, Abdullah M. Iliyasu, Phuc Q. Le, et al.. (2013). A parallel comparison of multiple pairs of images on quantum computers. International Journal of Innovative Computing and Applications. 5(4). 199–199. 21 indexed citations
9.
Le, Phuc Q., et al.. (2012). Representing Visual Complexity of Images Using a 3D Feature Space Based on Structure, Noise, and Diversity. Journal of Advanced Computational Intelligence and Intelligent Informatics. 16(5). 631–640. 12 indexed citations
10.
Yan, Fei, Phuc Q. Le, Abdullah M. Iliyasu, et al.. (2012). Assessing the similarity of quantum images based on probability measurements. Zenodo (CERN European Organization for Nuclear Research). 1–6. 37 indexed citations
11.
Vu, Hai, Phuc Q. Le, Chastine Fatichah, et al.. (2011). Multimodal Gesture Recognition for Mascot Robot System Based on Choquet Integral Using Camera and 3D Accelerometers Fusion. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(5). 563–572. 9 indexed citations
12.
Le, Phuc Q., Abdullah M. Iliyasu, Fangyan Dong, & Kaoru Hirota. (2011). Efficient Color Transformations on Quantum Images. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(6). 698–706. 60 indexed citations
13.
Iliyasu, Abdullah M., Phuc Q. Le, Fangyan Dong, & Kaoru Hirota. (2011). Watermarking and authentication of quantum images based on restricted geometric transformations. Information Sciences. 186(1). 126–149. 192 indexed citations
14.
Iliyasu, Abdullah M., Phuc Q. Le, Fangyan Dong, & Kaoru Hirota. (2011). A FRAMEWORK FOR REPRESENTING AND PRODUCING MOVIES ON QUANTUM COMPUTERS. International Journal of Quantum Information. 9(6). 1459–1497. 67 indexed citations
15.
Sun, Bo, Phuc Q. Le, Abdullah M. Iliyasu, et al.. (2011). A Multi-Channel Representation for images on quantum computers using the RGBα color space. 1–6. 95 indexed citations
16.
Le, Phuc Q., Abdullah M. Iliyasu, Fangyan Dong, & Kaoru Hirota. (2010). Strategies for designing geometric transformations on quantum images. Theoretical Computer Science. 412(15). 1406–1418. 113 indexed citations
17.
Le, Phuc Q., Abdullah M. Iliyasu, & Fangyan Dong. (2010). Fast Geometric Transformations on Quantum Images. 86 indexed citations
18.
Le, Phuc Q., Fangyan Dong, & Kaoru Hirota. (2010). A flexible representation of quantum images for polynomial preparation, image compression, and processing operations. Quantum Information Processing. 10(1). 63–84. 569 indexed citations breakdown →
19.
Yamazaki, Yoichi, Fangyan Dong, Yuta J. Masuda, et al.. (2007). Intent expression using eye robot for mascot robot system. Spiral (Imperial College London). 576–580. 3 indexed citations
20.
Yamazaki, Yoichi, Fangyan Dong, Yuta J. Masuda, et al.. (2007). Fuzzy inference based mentality estimation for eye robot agent. Spiral (Imperial College London). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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